Slides from the last live webcast that detailed the Online Electrical/Computer Engineering Master's Degree program offered at NYU Tandon School of Engineering.

1. NYU TANDON ONLINE MS IN
COMPUTER AND
ELECTRICAL ENGINEERING
Tuesday, September 20, 2:00pm – 3:00pm
Presenters
Professor Peter Voltz, Associate Professor
Luke Modzier, Student Services Counselor

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PRESENTERS
Professor Peter Voltz
Associate Professor
Luke Modzier
Student Services
Counselor

5. NYU BY THE NUMBERS
• NYU is the largest private
university in the United
States
• Second oldest engineering
school in the US
• 18 schools, colleges, and
divisions in NYC
25countries
108incubator
companies
1831Founding

6. NYU BY THE NUMBERS
Abu Dhabi
Nanjing
Guangzhou
Tel Aviv
NYC Metro Area
Berlin
Buenos Aires
Florence
Ghana
London
Madrid
Paris
Prague
Shanghai

7. NYU BY THE NUMBERS
4
salary potential
in the Nation,
according to Forbes#
10
innovative IT
Schools
according to Computerworld#
• We have students from
93 countries
• Undergraduate
Students – 2,344
• Graduate Students –
2,868

8. RESEARCH CENTERS OF
EXCELLENCE
•Applied Dynamics and Optimization Lab
•Information Systems and Internet Security (ISIS) Lab
•Center for Interdisciplinary Studies in Security and Privacy (CRISSP)
•High-speed Networking Lab
•NYU Wireless
•Center for Advanced Technology in Telecom (CATT)
•Control & Telecommunications Research Lab
•CITE Game Innovation Lab
•Experimental Media Center
•NYC Media Lab

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ACCREDITATION
• Graduate and Undergraduate
– New York State Education Department
– Middle States Association
• Undergraduate Engineering
– Accreditation Board for Engineering
and Technology (ABET)
• Undergraduate Computer
Science
– Computer Science Accreditation
Board (CSAB)

10. ONLINE GRADUATE PROGRAM
What is NYU Tandon
Online?
NYU Tandon Online is the official
Online Learning Unit of NYU Tandon
School of Engineering. Allowing
students to study Technology,
Science, Management, and
Engineering anytime and anywhere.
Eliminates Barriers

11. ONLINE GRADUATE PROGRAM
Highly Ranked
Student
Services and
Technology
#3
Student
Engagement &
Accreditation
#4
Top Online
Graduate Engineering School

12. ONLINE GRADUATE PROGRAM
Highly Ranked
2012
Outstanding
Cyber Security Online
Program Award
2015
Ralph E. Gomory
Award for High-Quality
Online Education
2014 2014
Best Online
Master’s
In Engineering
Program
Most
Technologically
Savvy Online
School

13. HOW IT WORKS
Students attend online courses on
NYUClasses
• Assignments
• Videos and audio
• Quizzes and exams
• Discussion boards
• Active Learning Modules
Webinar
• Virtual classroom
Class specific software

14. HW IT WORKS

15. HOW IT WORKS

16. HOW IT WORKS

17. HOW IT WORKS
Course-Management System and Webcasting
• Secured access to NYU Classes, the school’s virtual course
management system and webcasting
Online Resources
• Online Resources
• Digital library
• Tutor Database
• Career Management Portal
• Grades, transcript, other data
• Announcements
• Class, enrollment, exam
schedule
• Calendar and E-Mail
• Faculty directory

18. COMPUTER/ELECTRICAL
ENGINEERING MASTER’S DEGREE
ABOUT OUR COMPUTER AND
ELECTRICAL ENGINEERING
MASTER’S DEGREES

19. ELECTRICAL ENGINEERING
• Electrical engineers assume a principal role in implementing
industrial infrastructure, from vast complexes to intricate
applications on hand-held devices
• The online Master of Science program in Electrical
Engineering prepares students to embrace an advanced,
highly sought-after professional career
• It also gives them critical knowledge necessary to pursue a
PhD in electrical engineering
• Students explore key subdisciplines in control, signal
processing and computing to achieve a thorough command
of the field.

20. FIELDS OF ELECTRICAL
ENGINEERING
• Very large scale integrated (VLSI) circuits
• Networking/Telecommunications
• Signal Processing
• Image Processing
• Medical Devices
• Robotics
• Power Systems
• Electromagnetics
• Nanotechnology
• Embedded systems
• …

21. COMPUTER ENGINEERING
• Computer engineering makes it possible for us to
telecommute from home, check our e-mail on the go,
and videoconference with clients from around the
world
• But laptops and information networks aren’t the only
products computer engineers develop; they
reconstruct genomes, design robots, and conceive
software to make businesses more efficient.

22. FIELDS OF COMPUTER
ENGINEERING
• Digital Logic
• Algorithms and data structures
• Computer architecture
• Embedded systems
• Very large scale integrated (VLSI) circuits
• Cyber security
• Parallel, and distributed computing
• Software Engineering
• Networking/communications
• Computer games/digital media
• Computer vision/graphics
• Signal Processing
• Informatics
• Robotics
• Nanotechnology

23. MAJOR EMPLOYERS OF
RECENT GRADS
• Amazon
• AT&T
• BNY Mellon
• Cisco
• ConEd
• Electric Boat
• Honeywell
• Intel
• JP Morgan Chase
• Marvell
• NYC Transit
• PSEG
• PwC
• Qualcomm
• . . . .

24. COMPUTER/ELECTRICAL
ENGINEERING MASTER’S DEGREE
MASTER’S PROGRAMS

25. MS ELECTRICAL ENGINEERING
• 30 credits
• Must take >= 2 core courses (6 credits) (chosen from 5)
– EL-GY 6113 Signals and systems
– EL-GY 6253 Linear systems
– EL-GY 6303 Probability and stochastic processes
– EL-GY 6403 Analog integrated circuit design
– EL-GY 6713 Electromagnetic theory and applications
• Must take >=24 EL credits
• Must have GPA >=3.0 among all courses, and among the two
core courses
• Thesis (6 credits)/projects (3 credits) optional but recommended

26. MS ELECTRICAL ENGINEERING
CONCENTRATION AREAS
• Communications, Networking and Signal
Processing
• Computer Engineering and VLSI
• Energy systems and power electronics
• Electromagnetics and analog/RF/Biomedical
circuits
• Systems, control, and robotics

27. EL 6113 DIGITAL SIGNAL
PROCESSING I
• Discrete time systems
• Z - transform
• Implementation of Digital Systems and Frequency Response
• Magnitude Characteristics of LTI systems
• Minimum Phase Systems
• Fourier Series and Orthogonal Functions
• The Sampling Theorem
• The Discrete Time Fourier Transform
• The Discrete Fourier Transform (DFT)
• FIR Filter Design
• IIR Filter Design
• Least Squares in DSP

28. EL 6303 PROBABILITY AND
STOCHASTIC PROCESSES
• Continuous and discrete random variables and their joint probability distribution and density
functions
• Functions of one random variable and their distributions
• Independent random variables and conditional distributions; One function of one and two random
variables
• Two functions of two random variables and their joint density functions; Jointly distributed
discrete random variables and their functions
• Characteristic functions and higher order moments; Covariance, correlation,
orthogonality; Jointly Gaussian random variables
• Linear functions of Gaussian random variables and their joint density functions.
• Stochastic processes and the concept of Stationarity; Strict sense stationary (SSS) and wide
sense stationary (WSS) processes
• Auto correlation function and its properties; Poisson processes and Wiener processes
• Stochastic inputs to linear time-invariant (LTI) systems and their input-output
autocorrelations; Input-output power spectrum for linear systems with stochastic inputs;
• Minimum mean square error estimation (MMSE) and orthogonality principle; Auto regressive
moving average (ARMA) processes and their power spectra.

29. EL 6403 FUNDAMENTALS OF
ANALOG INTEGRATED CIRCUIT
DESIGN
• Integrated systems. Active and passive devices in integrated systems
• Single-stage amplifiers
• Differential amplifiers
• Passive and active current mirrors
• Frequency response
• Feedback systems
• Noise
• Operational amplifiers
• Bandgap references
• Analog layout, packaging and fabrication design rules
• Analog systems - overview

30. EL 6713 ELECTROMAGNETIC
THEORY AND APPLICATIONS
• Vector Analysis, Divergence Theorem & Stokes’ Theorem
• Coulumb’s Law, Gauss’s Law & Curl Free Static Electric Field
• Biot-Savart Law, Ampere’s Law & Divergence Free Static Magnetic field
• Electric and magnetic Materials; Boundary Conditions
• Potentials, Energy, Laplace and Poisson’s Equations
• Capacitor, Conductor & Inductor
• Time Varying Fields and Maxwell’s Equation
• Useful general theorems and concepts
• Uniform Plane Wave
• Reflection & Refraction
• Transmission Line
• Waveguides and Cavity
• Antenna and Radiation

31. MS COMPUTER ENGINEERING
• 30 credits (10 courses)
• Must take >=2 core courses (6 credits) (Chosen from 4)
– CS-GY 6133 Computer Architecture I
– EL-GY 6463 Advanced Hardware Design
– EL-GY 6473 Intro to VLSI design
– EL-GY 6513 Fundamentals of Solid-State Electronic Devices
– EL-GY 6523 Nanoelectronic devices
• >=24 credits from EL/CS courses, >=15 credits from EL courses
• 1 project (3 credits) required
• Must have GPA >=3.0 among all courses, and among the two
core courses

32. CS 6133 COMPUTER
APPLICATIONS I
• Digital Computer
– Computing Machinery And Intelligence
– The First Draft Report on the EDVAC
• Digital Electronics
– Managing Complexity
– Numbering System
– Binary Arithmetic
– Logic Gates
– Digital Abstraction
– Combinatorial Logic
• Boolean Equations
• Boolean Algebra
• Karnaugh Maps
• Timing Analysis

33. CS 6133 COMPUTER
APPLICATIONS I (CONTINUED)
• Digital Electronics (Continued)
– Sequential Logic
• Latches and Flip-Flops
• Synchronous Logic Design
• Finite State Machines
• Timing Analysis
• Parallelism
– Physical Constraints
• CPU
– Instruction Set Architecture
– Building Blocks
– Hardware Architecture - Single Cycle CPU
• Data and Control Path
• Instructions
• Performance Analysis

34. CS 6133 COMPUTER
APPLICATIONS I (CONTINUED)
• CPU (Continued)
– Hardware Architecture - Pipelined CPU
• Data and Control Path
• Hazards
• Pipelined CPU Implementation
• Memory Subsystem
– Memory Basics
– Memory Hierarchy
• Cache
• Virtual Memory
• Performance Analysis and Measurements

35. CS 6473 INTRO TO VLSI DESIGN
• MOSFET digital logic and circuit design
– MOSFET characteristics
– CMOS inverter
– Complex logic gates
– Timing and power analysis
• Advanced digital logic
– Dynamic logic, domino logic, pass transistor logic etc.
– Timing Analysis
• Arithmetic blocks
– Adders
– Multipliers
• Interconnects
• Memories
– SRAM
– DRAM
– Peripherals and array architecture

36. CS 6473 INTRO TO VLSI DESIGN
(CONTINUED)
• Physical Design
• VLSI system design
– General system components and system design flow
– VLSI clocking
– Power supply
– Input/Output
• Current/Future challenges in VLSI Design

37. CS 6463 ADVANCE HARDWARE
DESIGN
• This course shows how a hardware-description language
(for example, VHDL) can be used for computer hardware
modeling, logic synthesis, register-level synthesis and
simulation. The resulting design with hundreds or
thousands of gates is then ready to be downloaded to
form FPGA chips or silicon cells. Programs used:
QuickVHDL, modeling and simulation tools from Mentor
Graphics or similar large-scale programs. A design project
is required and students make a written and oral
presentation.

38. TUITION
Graduate tuition, per credit $ 1,646
Registration and service fee, per credit $ 85
Estimated cost of one course, 3 credits $ 5,193
Estimated cost of a Master’s Degree $ 52,000
Estimated cost of a Certificate Degree $ 19,000

39. SOCIETY CO-SPONSORS
Tuition Scholarships
Society Member Benefits
engineering.nyu.edu/enterprise-learning/society-co-sponsors

40. APPLICATION ELIGIBILITY
• Bachelor’s degree from accredited school
• Greater than 3.0 GPA in undergraduate school
• Preference for accredited ABET, ACS and CSAB
schools
• Some may be required to take prerequisite
courses without graduate credit

41. APPLICATION REQUIREMENTS
• Application Form
• $75 Fee
• Resume
• Personal Statement
• Transcripts
• Two Letters of Recommendation
• GRE (NYU School Code 2668)
• English Language Proficiency
(TOEFL/IELTS/CAE/Pearson PTE)
Required to Submit
Your Application
Required to Complete
Your Application

42. APPLICATION REQUIREMENTS
• Application Form
• $75 Fee
• Resume
• Personal Statement
Required to Submit Your Application

43. APPLICATION REQUIREMENTS
• Transcripts
• GRE Scores
(NYU School Code 2668)
• Two Letters of
Recommendation
• English Language Proficiency
(TOEFL/IELTS/CAE/Pearson PTE)
Required to Complete Your Application

44. APPLICATION DEADLINES
Spring 2017
Summer
2017
Fall 2017
Full-Time Applicants
(9+ Credits per semester)
Passed December 21,
2016
February 15,
2017
Part-Time Applicants - Early
Admission
(Fewer than 9 credits per semester)
October 1,
2016
February 1,
2017
March 15,
2017
Part-Time Applicants
(Fewer than 9 credits per semester)
November 1,
2016
March 14,
2017
May 1,
2017
All documents due December 15,
2016
April 18,
2017
June 15, 2017

45. NYU TANDON ONLINE
FUTURE WEBINARS
Computer/Electrical Engineering
Mon, Nov 14 at 2:00 PM
General Webinar
Thu, Sep 29 at 2:00 PM

46. NYU TANDON ONLINE
CONTACT INFORMATION
Luke Modzier
Student Services Counselor
luke.modzier@nyu.edu
(646) 997-3071
Front Desk
online.engineering.nyu.edu
tandon.online@nyu.edu
(646) 997-3623
nyu.tandon.online
@NYUTandonOnline
#NYUOnline
/NYUTandonOnline
Peter Voltz
voltz@nyu.edu